2157 search results - page 202 / 432 » Learning Switching Concepts |
165
click to vote
GECCO
2008
Springer
15 years 7 months ago
2008
Springer
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
171
click to vote
ATAL
2007
Springer
16 years 10 days ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
135
click to vote
COLT
2005
Springer
15 years 11 months ago
2005
Springer
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...
142
Voted
ALT
1999
Springer
15 years 10 months ago
1999
Springer
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
149
Voted
NN
2008
Springer
15 years 6 months ago
2008
Springer
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...